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International Journal of Production Research Volume 60, 2022 - Issue 17
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Research Article

Configuring products with natural language: a simple yet effective approach based on text embeddings and multilayer perceptron

Yue Wanga Department of Supply Chain and Information Management, The Hang Seng University of Hong Kong, Hong Kong SAR, People’s Republic of ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-0185-6172View further author information
ORCID Icon,
Xiang Lib Department of Information Systems, The City University of Hong Kong, Hong Kong SAR, People’s Republic of ChinaView further author information
,
Linda L. Zhangc IESEG School of Management, Univ. Lille, CNRS, UMR 9221 – LEM – Lille Economie Management, Lille, FranceView further author information
&
Daniel Moa Department of Supply Chain and Information Management, The Hang Seng University of Hong Kong, Hong Kong SAR, People’s Republic of ChinaORCID Iconhttps://orcid.org/0000-0001-8307-9065View further author information
ORCID Icon
Pages 5394-5406 | Received 30 Dec 2020, Accepted 10 Jul 2021, Published online: 31 Jul 2021

Citations (12)

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Stephanie Beyer Díaz, Kristof Coussement, Arno De Caigny, Luis Fernando Pérez & Stefan Creemers. (2024) Do the US president's tweets better predict oil prices? An empirical examination using long short-term memory networks. International Journal of Production Research 62:6, pages 2158-2175.
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Abhijeet S. Bhardwaj, Dharmaraj Veeramani & Shiyu Zhou. (2023) Confidently extracting hierarchical taxonomy information from unstructured maintenance records of industrial equipment. International Journal of Production Research 61:23, pages 8159-8178.
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Huifang Zhou, Shuyou Zhang, Lemiao Qiu, Zili Wang & Kerui Hu. (2023) A factorisation-based recommendation model for customised products configuration design. International Journal of Production Research 61:19, pages 6381-6402.
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Yongting Tian, Shouxu Song, Dan Zhou & Chen Wei. (2022) Configuring products using NSGA-II: warranty profits, performance–price, and environmental emissions from the contractor perspective. Journal of Engineering Design 33:8-9, pages 545-566.
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Articles from other publishers (8)

Shaoqin Huang, Yue Wang, Eugene Y.C. Wong & Lei Yu. (2024) Ensemble learning with soft-prompted pretrained language models for fact checking. Natural Language Processing Journal 7, pages 100067.
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Jianhui Huang, Yue Wang, Stephen C.H. Ng & Fugee Tsung. (2024) Overcoming the semantic gap in the customer-to-manufacturer (C2M) platform: A soft prompts-based approach with pretrained language models. International Journal of Production Economics 272, pages 109248.
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Haonan QiZhipeng Zhou, Javier IrizarryDong LinHaoyu ZhangNan LiJianqiang Cui. (2024) Automatic Identification of Causal Factors from Fall-Related Accident Investigation Reports Using Machine Learning and Ensemble Learning Approaches. Journal of Management in Engineering 40:1.
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Y. T. Cheng, H. L. Choi & Y. Wang. (2023) How Awareness of the Observational Learning Effect Influences Consumers' Decisions in the Online Configuration Process. How Awareness of the Observational Learning Effect Influences Consumers' Decisions in the Online Configuration Process.
Yue Wang, Daniel Y. Mo & G.T.S. Ho. (2023) How Choice Fatigue Affects Consumer Decision Making in Online Shopping. How Choice Fatigue Affects Consumer Decision Making in Online Shopping.
Vincenzo Varriale, Antonello Cammarano, Francesca Michelino & Mauro Caputo. (2023) Critical analysis of the impact of artificial intelligence integration with cutting-edge technologies for production systems. Journal of Intelligent Manufacturing.
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Yue Wang, Daniel Y. Mo & Hoi Lam Ma. (2022) Perception of time in the online product customization process. Industrial Management & Data Systems 123:2, pages 369-385.
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Dimas Chaerul Ekty Saputra, Yusuf Maulana, Evvin Faristasari, Alfian Ma’arif & Iswanto Suwarno. 2023. Proceeding of the 3rd International Conference on Electronics, Biomedical Engineering, and Health Informatics. Proceeding of the 3rd International Conference on Electronics, Biomedical Engineering, and Health Informatics 513 528 .

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